OpenAI Solves Navier-Stokes Problem Amid Scooping Allegations — SkimNews
Get the Tech newsletter
Daily tech — startups, AI labs, chips, the launches that shape the next decade. Free.
- OpenAI announced its unreleased AI model solved the Navier-Stokes problem in 88 hours using a swarm of ~10,000 AI agents, calling it a milestone in AI-driven mathematics.
- Tristan Buckmaster, a New York University math professor, alleged OpenAI contacted him aggressively after learning of his related work with Anthropic researcher Levent Alpöge, warning him not to go public.
- OpenAI denied accessing specific user data from Buckmaster’s Codex sessions but conceded it cannot rule out that de-identified usage data may have indirectly influenced its models.
- Sébastien Bubeck, an OpenAI researcher, said the company pursued the problem after seeing rumors on Twitter, framing the effort as a spontaneous test of its model’s capabilities.
- Mathematicians, including Abhishek Saha and Brendan Hassett, expressed alarm over the erosion of trust in academic collaboration, citing fears that AI labs could exploit openness to scoop human researchers at scale.
- Andras Juhasz, an Oxford professor, described the move as a PR victory for OpenAI but questioned its sustainability, noting the unprecedented ability of AI systems to deploy vast computational resources to preempt individual scholars.
Why it matters: OpenAI’s demonstration proves AI can tackle elite mathematical problems, but its conduct risks alienating the research community by undermining norms of open collaboration. The inability to fully rule out indirect use of others’ work creates material uncertainty for academics who rely on sharing ideas freely, potentially chilling future innovation in fields dependent on trust.
Ask SkimNews
